consistent param list of block

mmcv/cnn/resnet.py

@@ -28,7 +28,8 @@ class BasicBlock(nn.Module):
                  stride=1,
                  dilation=1,
                  downsample=None,
-                 style='pytorch'):
+                 style='pytorch',
+                 with_cp=False):
         super(BasicBlock, self).__init__()
         self.conv1 = conv3x3(inplanes, planes, stride, dilation)
         self.bn1 = nn.BatchNorm2d(planes)
@@ -38,6 +39,7 @@ class BasicBlock(nn.Module):
         self.downsample = downsample
         self.stride = stride
         self.dilation = dilation
+        assert not with_cp
 
     def forward(self, x):
         residual = x